Job offer

Master Degree or equivalent, We are looking for a candidate with:

• Expertise in generative models
• Experience in large-scale deep learning training
• A strong academic background in applied mathematics, machine learning, computer science or a related field
• Strong software engineering skills, including experience developing and publishing code/packages
• Data engineering skills and experience building structured datasets from heterogeneous or unstructured data
• Experience in systems biology, omics or single-cell data would be an advantage.

Languages ENGLISH, Computer science » Modelling tools, Selection criteria: To assess whether the candidate can initiate a PhD programme are the following: 1. (25%) Merit and excellence criteria: academic track record will be one of the considered criteria (examination and dissertation marks, courses followed, internships, etc.) 2. (20%) Knowledge and experience in the field 3. (20%) Non-academic skills, such as communication skills and team work 4. (25%) English language proficiency and criteria like previous mobility, teaching experience, publication record, awards. 5. (10%) external expert assessments (reference letter(s)).

Application eligibility: Eligible application is received before the deadline & it is complete & the candidate possesses a European Master degree or equivalent at the time of the deadline & the candidate has an excellent proficiency of the English language Additional comments

The PhD fellowship duration is 3 years and correspond to a work contract protected by employment laws of the hosting country that includes full social benefit and a mobility allowance. Family allowance is provided if applicable. Salary and additional benefits are according to EU-standards for Marie Curie fellows The fellows will be enrolled in doctoral schools associated to the host institution. Starting date is as soon as possible. Eligibility criteria

Candidate eligibility: Eligible candidates have to be in the first four years of their research careers and in possession of a European Master’s degree or equivalent but not yet awarded with a doctoral degree The researchers must not have resided or carried out their main activity (work, studies, etc.) in the hosting country for more than 12 months in the 3 years immediately prior to the start of the contract date. We are committed to equal opportunity recruitments Selection process

DeepLife is looking for a highly motivated PhD candidate to join TAu imMunE (TAME), a European Doctoral Network dedicated to tauopathies (https://cordis.europa.eu/project/id/101119596).

TAME brings together academic and industry partners across Europe to develop methods to better diagnose and treat tauopathies, including Alzheimer’s disease and frontotemporal dementia.

Tauopathies are characterized by abnormal tau protein buildup in the brain, leading to the formation of filaments, obstructing nerve synapses and impacting cell viability, ultimately leading to neurodegenerative disorders.

DeepLife will use proprietary data obtained from cell cultures and in vivo models, together with open-access data, to build a digital model of a neuron affected by tau pathology in order to predict novel biomarkers and therapeutic strategies.

The successful candidate will be hired by DeepLife under a 36-month full-time PhD employment contract.

The candidate will spend:

• 24 months within DeepLife’s R&D team
• 12 months at Université de Lille / Inserm / Institut Pasteur de Lille, within the Integrative Structural Biology / Alzheimer & Tauopathies - Lille Neuroscience & Cognition research environment.

The PhD will be jointly supervised by DeepLife and Université de Lille. The candidate will also interact regularly with the TAME consortium and benefit from its biological and experimental expertise., DeepLife is a techbio company developing Digital Twins of human cells to accelerate drug discovery. By combining large-scale multi-omics data, artificial intelligence and systems biology, DeepLife models cellular mechanisms to identify the molecular drivers of disease and uncover new therapeutic targets.

DeepLife offers an international and research-driven environment, bringing together expertise in computational biology, machine learning and drug discovery.

About TAME

TAu imMunE (TAME) is a European Doctoral Network dedicated to tauopathies, bringing together academic institutions, research organisations and private companies across Europe.

The research and training programme aims to generate new knowledge and innovative approaches for the diagnosis and treatment of tau-related neurodegenerative diseases, including Alzheimer’s disease and frontotemporal dementia.